Radar System Engineering: From Requirements to Deployment
Multifunction radar system design spans a range of tasks starting with requirements analysis. Once requirements are understood, the process moves to design and implementation, integration and testing, and eventually to field data analysis. In this webinar, we will show how you can integrate these tasks using modeling and simulation tools.
Through a series of examples that include airborne, ground-based, shipborne, and automotive radar systems, we will start with the requirements analysis work and translate the results into designs that can be simulated with probabilistic models and I/Q signal level models. We will show how these modeling options help you pick the right level of fidelity for the project phase you are working on. You will learn how synthesized radar data can be used to improve your design choices, how design models can be shared across organizations, and how testing data can be used to shorten integration cycles.
You will learn how to:
- Perform link budget analysis and evaluate design trade-offs interactively with the Radar Designer app
- Connect your radar workflows including requirements and architecture analysis, system design, and verification
- Simulate radars using statistical models and signal-level models
- Model closed-loop, multifunction radars
- Deploy radar signal processing algorithms to processors and FPGAs
About the Presenter
Rick Gentile works at MathWorks where he is focused on tools that support radar and sensor fusion applications. Prior to joining MathWorks, Rick was a Radar Systems Engineer at MITRE and MIT Lincoln Laboratory, where he worked on the development of many large radar systems. His focus was on signal processing and system integration. Rick also was a DSP Applications Engineer at Analog Devices where he led embedded processor and system level architecture definitions for high performance signal processing systems. He received a B.S. in Electrical and Computer Engineering from the University of Massachusetts, Amherst and an M.S. in Electrical and Computer Engineering from Northeastern University, where his focus areas of study included Microwave Engineering, Communications and Signal Processing.
Recorded: 23 Aug 2022
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